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Guangnian Xiao
College of Economics & Management, Shanghai Maritime University, Shanghai 201306, China

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Journal article
Published: 13 April 2020 in Sustainability
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With the rapid popularization of mobile Internet technology and smart terminal equipment in recent years, the volume and usage of dockless bikesharing (hereafter referred to as bikesharing), which is green, environmentally friendly and convenient, have grown rapidly, making it one of the China’s “new four major inventions.” The development of the bikesharing in China consists of a pre-sharing era and a post-sharing era. In the pre-sharing era, capital-driven vicious market competition and lack of precise control have led to the abuse of urban space. Since the post-sharing era, the industry structure has returned to rationality, and many participants have been forced out of the market. The bikesharing has formed an oligopoly market consisting of head players such as Hellobike, Mobike, and Ofo. Therefore, how to improve the level of refined operations, promote sustainable development, improve cyclist satisfaction, and contribute to China’s strength in transportation have become urgent problems for bikesharing companies and traffic management departments. From the perspective of the cyclist experience, the brand choice of the bikesharing is taken as the research object. An online revealed preference survey is used to collect data on cyclists’ socio-economic attributes and subjective evaluations on the bikesharing. The conditional Logit model is used to explore the important factors that influence cyclists on the choice of bikesharing brands. Research results include: (1) age, occupation type, after-tax monthly income of the faculty group, riding comfort, rent, picking up/returning convenience, word of mouth, and volume have a significant impact on cyclists’ bikesharing brand choices; (2) gender, educational background, monthly living expenses of the student group, appearance, deposit, deposit returning speed, rate of broken bikes, ease of use of software, and rent discount have no significant impact on cyclists’ bikesharing brand choices. The research results are of great significance for improving the service quality of bikesharing companies and promoting the healthy development of the shared economy in China. Based on the results of the study, policy recommendations are made on the improvement for riding comfort, human-centered design, and word of mouth, and the construction of shared facilities.

ACS Style

Guangnian Xiao; Zihao Wang. Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era. Sustainability 2020, 12, 3125 .

AMA Style

Guangnian Xiao, Zihao Wang. Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era. Sustainability. 2020; 12 (8):3125.

Chicago/Turabian Style

Guangnian Xiao; Zihao Wang. 2020. "Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era." Sustainability 12, no. 8: 3125.

Journal article
Published: 01 October 2019 in Sustainability
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This paper discusses and explores the different effects of contractual forms on the satisfaction with public transport (PT) at different urban scales. Using public transport systems in 12cities in China as the focus (four large-I-sized cities, four large-II-sized cities, and four medium-sized cities), a measurement model of the passenger satisfaction index (PSI) is constructed and estimated on the basic of the adjusted European Customer Satisfaction Index (ECSI) and Partial least square-structural equation model (PLS-SEM), respectively. Then, a two-stage truncation regression bootstrap model is proposed to assess the different effects between them. The major findings of this study are summarized as follows: (1) different effects of contractual forms on PT satisfaction in large- and medium-sized cities are confirmed. (2) In large-I-sized cities and lager II sized cities, operators supervised by management contracts incite higher PT satisfaction levels than those supervised by gross and net cost contracts. (3) In medium-sized cities, operators supervised by gross cost contracts provide incentives to be the satisfaction compared to those of management and net cost contracts. According to different urban scales, different and appropriate contractual forms and supervision mechanisms should be chosen to regulate public transport services.

ACS Style

Chunqin Zhang; Daoyou Wang; Anning Ni; Xunyou Ni; Guangnian Xiao. Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China. Sustainability 2019, 11, 5453 .

AMA Style

Chunqin Zhang, Daoyou Wang, Anning Ni, Xunyou Ni, Guangnian Xiao. Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China. Sustainability. 2019; 11 (19):5453.

Chicago/Turabian Style

Chunqin Zhang; Daoyou Wang; Anning Ni; Xunyou Ni; Guangnian Xiao. 2019. "Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China." Sustainability 11, no. 19: 5453.

Journal article
Published: 20 August 2019 in IEEE Access
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Travel modes are generally derived from Global Positioning System (GPS) data on the basis of either a rule-based or machine learning classification method. The rule-based classification approach is generally easy to understand, whereas the machine learning classification method has better generalization. However, studies that jointly explore both methods are limited. The present research proposes a two-stage method that aims to impute travel modes from GPS trajectory data. In the first stage, rules are employed to detect subway modes. In the second stage, a Gaussian process classifier based on sequential forward selection methods is utilized to derive the remaining travel modes. On the basis of the four selected features constituting the feature set (i.e., average speed, average acceleration, heading change, and low-speed point rate), over 97% of the samples with subway modes are correctly identified and 93.04% of segments in the walk-based balanced test subset are accurately detected. Over 92% of the car and bus samples are correctly detected for the training and test datasets. Results provide a new perspective in selecting classification methods for the detection of travel modes and other travel characteristics from GPS trajectory data. Furthermore, high differentiation is achieved between the bus and car modes without the bus transit geographic information system sources of bus networks. Therefore, reasonable extracted features contribute to the detection of travel modes, particularly between bus and car modes.

ACS Style

Guangnian Xiao; Qin Cheng; Chunqin Zhang. Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier. IEEE Access 2019, 7, 116741 -116752.

AMA Style

Guangnian Xiao, Qin Cheng, Chunqin Zhang. Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier. IEEE Access. 2019; 7 (99):116741-116752.

Chicago/Turabian Style

Guangnian Xiao; Qin Cheng; Chunqin Zhang. 2019. "Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier." IEEE Access 7, no. 99: 116741-116752.

Journal article
Published: 24 December 2018 in Transportation Research Part A: Policy and Practice
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The evaluation method consisting of partial least square (PLS) and structural equation model (SEM) is proposed to measure public transport passenger satisfaction as it systematically analyzes public transport service satisfaction. Taking into account the characteristics of Chinese public transport services, we modify the American customer satisfaction theory and construct the conceptual model of passenger satisfaction index (PSI). The measurement model of PSI is established based on PLS-SEM. Based on the passenger satisfaction data covering 58 Chinese public transport operators of 13 cities, an empirical analysis was carried out. Conclusions are summarized as follows: ① The convenience, safety, reliability, comfort and operational service, which are belonged to passenger perceived quality, have a significant direct positive effect on the passenger satisfaction. ② The correlations between passenger expectations, passenger perceived value, passenger loyalty and passenger satisfaction are all significant direct positive. ③ The correlations between passenger satisfaction, passenger loyalty and passenger complaint are all direct negative. ④ Passenger satisfaction index score of 13 cities is as low as 68.88. According to the results, some feasible suggestions are proposed from perspectives of both the enterprise operation and industry regulation to improve the healthy and orderly development of public transport industries.

ACS Style

Chunqin Zhang; Yong Liu; Weite Lu; Guangnian Xiao. Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice 2018, 120, 149 -164.

AMA Style

Chunqin Zhang, Yong Liu, Weite Lu, Guangnian Xiao. Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice. 2018; 120 ():149-164.

Chicago/Turabian Style

Chunqin Zhang; Yong Liu; Weite Lu; Guangnian Xiao. 2018. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service." Transportation Research Part A: Policy and Practice 120, no. : 149-164.